Upload 13 files

b05d283 verified 3 months ago

2.81 kB

# build.spec
# Build with:  pyinstaller build.spec
#
# Produces dist/InsightUX/ containing both:
#   "InsightUX Calibrate.exe"  — run once per person before first use
#   "InsightUX Browser.exe"    — the actual research browser
#
# MERGE() shares mediapipe/onnxruntime/opencv/torch across both builds
# instead of duplicating ~500MB+ of dependencies twice.

from PyInstaller.utils.hooks import collect_all

block_cipher = None

datas = []
binaries = []
hiddenimports = []

# mediapipe and onnxruntime both ship binary model/asset files inside their
# own package data that PyInstaller won't find automatically — collect_all
# is required, not optional, or the packaged app fails at runtime with
# "file not found" errors deep inside those libraries.
for pkg in ("mediapipe", "onnxruntime", "cv2"):
    d, b, h = collect_all(pkg)
    datas += d
    binaries += b
    hiddenimports += h

# Your trained model + preprocessing package, bundled as data since they're
# loaded by relative path at runtime, not imported as Python modules.
datas += [
    ("models", "models"),
    ("preprocessing", "preprocessing"),
]

# torch is optional (only used for calibration fine-tuning, already wrapped
# in try/except ImportError in calibrate.py) — include it only if installed
# in your build environment, PyInstaller will skip it silently otherwise.
try:
    d, b, h = collect_all("torch")
    datas += d
    binaries += b
    hiddenimports += h
except Exception:
    pass

common_kwargs = dict(
    pathex=["."],
    binaries=binaries,
    datas=datas,
    hiddenimports=hiddenimports,
    hookspath=[],
    runtime_hooks=[],
    excludes=[],
    cipher=block_cipher,
)

calibrate_a = Analysis(["calibrate.py"], **common_kwargs)
browser_a   = Analysis(["browser_session.py"], **common_kwargs)

MERGE(
    (calibrate_a, "calibrate", "InsightUX Calibrate"),
    (browser_a,   "browser_session", "InsightUX Browser"),
)

calibrate_pyz = PYZ(calibrate_a.pure, calibrate_a.zipped_data, cipher=block_cipher)
browser_pyz   = PYZ(browser_a.pure,   browser_a.zipped_data,   cipher=block_cipher)

calibrate_exe = EXE(
    calibrate_pyz, calibrate_a.scripts, [], exclude_binaries=True,
    name="InsightUX Calibrate",
    console=True,   # keep console visible — calibration prints live diagnostics
    icon=None,
)

browser_exe = EXE(
    browser_pyz, browser_a.scripts, [], exclude_binaries=True,
    name="InsightUX Browser",
    console=False,  # no console window for the actual end-user app
    icon=None,
)

coll = COLLECT(
    calibrate_exe, calibrate_a.binaries, calibrate_a.zipfiles, calibrate_a.datas,
    browser_exe,   browser_a.binaries,   browser_a.zipfiles,   browser_a.datas,
    strip=False,
    upx=False,   # UPX compression on ML binaries frequently triggers AV false-positives
    name="InsightUX",
)

	# build.spec
	# Build with: pyinstaller build.spec
	#
	# Produces dist/InsightUX/ containing both:
	# "InsightUX Calibrate.exe" — run once per person before first use
	# "InsightUX Browser.exe" — the actual research browser
	#
	# MERGE() shares mediapipe/onnxruntime/opencv/torch across both builds
	# instead of duplicating ~500MB+ of dependencies twice.

	from PyInstaller.utils.hooks import collect_all

	block_cipher = None

	datas = []
	binaries = []
	hiddenimports = []

	# mediapipe and onnxruntime both ship binary model/asset files inside their
	# own package data that PyInstaller won't find automatically — collect_all
	# is required, not optional, or the packaged app fails at runtime with
	# "file not found" errors deep inside those libraries.
	for pkg in ("mediapipe", "onnxruntime", "cv2"):
	d, b, h = collect_all(pkg)
	datas += d
	binaries += b
	hiddenimports += h

	# Your trained model + preprocessing package, bundled as data since they're
	# loaded by relative path at runtime, not imported as Python modules.
	datas += [
	("models", "models"),
	("preprocessing", "preprocessing"),
	]

	# torch is optional (only used for calibration fine-tuning, already wrapped
	# in try/except ImportError in calibrate.py) — include it only if installed
	# in your build environment, PyInstaller will skip it silently otherwise.
	try:
	d, b, h = collect_all("torch")
	datas += d
	binaries += b
	hiddenimports += h
	except Exception:
	pass

	common_kwargs = dict(
	pathex=["."],
	binaries=binaries,
	datas=datas,
	hiddenimports=hiddenimports,
	hookspath=[],
	runtime_hooks=[],
	excludes=[],
	cipher=block_cipher,
	)

	calibrate_a = Analysis(["calibrate.py"], **common_kwargs)
	browser_a = Analysis(["browser_session.py"], **common_kwargs)

	MERGE(
	(calibrate_a, "calibrate", "InsightUX Calibrate"),
	(browser_a, "browser_session", "InsightUX Browser"),
	)

	calibrate_pyz = PYZ(calibrate_a.pure, calibrate_a.zipped_data, cipher=block_cipher)
	browser_pyz = PYZ(browser_a.pure, browser_a.zipped_data, cipher=block_cipher)

	calibrate_exe = EXE(
	calibrate_pyz, calibrate_a.scripts, [], exclude_binaries=True,
	name="InsightUX Calibrate",
	console=True, # keep console visible — calibration prints live diagnostics
	icon=None,
	)

	browser_exe = EXE(
	browser_pyz, browser_a.scripts, [], exclude_binaries=True,
	name="InsightUX Browser",
	console=False, # no console window for the actual end-user app
	icon=None,
	)

	coll = COLLECT(
	calibrate_exe, calibrate_a.binaries, calibrate_a.zipfiles, calibrate_a.datas,
	browser_exe, browser_a.binaries, browser_a.zipfiles, browser_a.datas,
	strip=False,
	upx=False, # UPX compression on ML binaries frequently triggers AV false-positives
	name="InsightUX",
	)